Hi, I'm Param Kasana, an AI Engineer with a Master's degree in Artificial Intelligence from RMIT University. With two years of professional experience in software engineering, I specialize in integrating AI with scalable software development. I enjoy building intelligent systems and leveraging my skills in machine learning, data science, and AI agent orchestration to solve complex problems. I'm passionate about continuous learning and adapting to new technologies, which allows me to create innovative AI-driven solutions. Whether it is developing AI features for web platforms or educating young minds in coding and AI concepts, I aim to make a positive impact through technology.

Param Kasana

Hi, I'm Param Kasana, an AI Engineer with a Master's degree in Artificial Intelligence from RMIT University. With two years of professional experience in software engineering, I specialize in integrating AI with scalable software development. I enjoy building intelligent systems and leveraging my skills in machine learning, data science, and AI agent orchestration to solve complex problems. I'm passionate about continuous learning and adapting to new technologies, which allows me to create innovative AI-driven solutions. Whether it is developing AI features for web platforms or educating young minds in coding and AI concepts, I aim to make a positive impact through technology.

Available to hire

Hi, I’m Param Kasana, an AI Engineer with a Master’s degree in Artificial Intelligence from RMIT University. With two years of professional experience in software engineering, I specialize in integrating AI with scalable software development. I enjoy building intelligent systems and leveraging my skills in machine learning, data science, and AI agent orchestration to solve complex problems.

I’m passionate about continuous learning and adapting to new technologies, which allows me to create innovative AI-driven solutions. Whether it is developing AI features for web platforms or educating young minds in coding and AI concepts, I aim to make a positive impact through technology.

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Language

English
Fluent
Hindi
Fluent

Work Experience

AI Software Engineer Intern at Vision Verse Interactive Pty Ltd
June 30, 2025 - July 19, 2025
Developed AI-powered features for a personality quiz platform by integrating Large Language Models (LLMs) to generate personalized poetic phrases from quiz results. Improved email automation by integrating AI-driven logic into the app's backend, using structured quiz data to personalize content for email marketing. Developed full stack web-based Admin Dashboard and data pipelines using Python and SQL to extract structured quiz data and track engagement KPIs through interactive dashboards.
Software Engineer at Heliotope Pty Ltd
March 31, 2024 - July 19, 2025
Developed Python and C# software with Dynamo scripts to automate carbon emission calculations and integrate seamlessly with Revit BIM, enhancing efficiency and accuracy. Engineered user-friendly interfaces for accurate data input, manipulation, and visualization of carbon emissions within the Revit environment, significantly improving the organization’s sustainability analysis and reporting capabilities.
Head Teacher Part Time at Codecamp Pty Ltd
March 31, 2025 - July 19, 2025
Educated and inspired children aged 5-13 in coding and AI concepts, simplifying complex computer science principles through engaging and interactive lessons, transforming them into budding coders.
Software Engineer at Wipro Limited
June 30, 2023 - July 19, 2025
Developed and executed smoke, functional, regression, and ad-hoc tests across different phases by creating detailed test cases, scripts, and plans aligned with business requirements and IT design documents to ensure comprehensive test coverage and system reliability. Created and executed SQL queries to validate data integrity. Collaborated in defect tracking and resolution, and worked with cross-functional teams within Agile processes to improve overall system functionality and meet project timelines.

Education

Master of Artificial Intelligence at Royal Melbourne Institute of Technology (RMIT)
July 1, 2023 - June 30, 2025
Bachelor of Technology at Vellore Institute of Technology
July 1, 2017 - July 31, 2021

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Education, Professional Services, Manufacturing, Energy & Utilities
    paper AI-driven Real-time Robotic Ball Catching System using Ur5e Robotic Arm

    An autonomous UR5e robotic arm performs dynamic ball catching using real-time 3D vision and predictive motion planning.

    This project showcases a full perception–planning–actuation pipeline implemented entirely in ROS 2 C++, leveraging an Intel RealSense D415 camera for on-arm depth sensing and advanced trajectory prediction for high-speed interception.

    Key features demonstrated include:

    • Real-time ball detection and 3D localisation
    • Trajectory estimation using minimal observations
    • Fast, constraint-aware motion planning
    • Safety-focused, reliable actuation with a net basket tool

    The system achieves robust catching performance within hardware-imposed limits, highlighting the importance of tightly integrated sensing and control for practical autonomous robotics.

    Tools: ROS2, UR5e Cobot, Inverse Kinematics, C++, Python

    paper AI-Powered Multi-Agent Automation for Developer Workflows

    This is an AI-powered multi-agent automation platform designed to help developers and managers streamline their daily workflows. We built this solution because modern software teams waste valuable time switching between tools like Jira, GitHub, Confluence, Notion, and email often repeating manual, error-prone tasks just to keep projects moving. To address this, we developed a system where a master agent can interpret a single natural language instruction and intelligently coordinate a suite of specialized agents to handle tasks like code analysis, code changes, documentation updates, ticket management, and communication. These agents are deeply integrated with popular developer tools via APIs and an agent orchestration layer, allowing them to work together seamlessly and automate even the most complex workflows, from updating a Jira ticket and pushing code to GitHub, to syncing documentation and sending email updates. The result is a highly flexible, extensible platform that saves time, reduces errors, keeps teams in sync, and empowers both developers and managers to focus on high-value work, rather than on repetitive overhead.

    Tools: AI Agents, Multi Agent Orchestration, LLMs, A2A, MCP

    Github:- https://github.com/param-kasana/Minizica-genai-agentos

    paper Detection of Persuasion Techniques in Memes - Multimodal Deep Learning System

    Developed a Multimodal Deep Learning system to identify 22 distinct persuasion techniques in memes using the SemEval-2021 Task 6 dataset. Employed transformer-based models for text feature extraction and CNNs for image analysis. Integrated attention mechanisms for feature fusion and optimised the model using Focal Loss to handle class imbalance. Achieved comprehensive evaluation using accuracy, micro and macro F1 scores, focusing on enhancing performance for minority classes.

    Tools: Python, TensorFlow, Keras, Transformers, Pre-trained ML Models

    paper AI-Powered Daily News Content Generator

    An award-winning, open-source platform that transforms trending news into platform-specific content like text posts, images, memes, and videos using advanced LLMs and multi-agent orchestration. Built to streamline content creation, Minizica aggregates real-time news, summarises key insights, and generates customisable, high-quality media tailored for different tones and platforms. The project won 1st place at the global #BuildwithAI Hackathon 2024, standing out among 200 teams across 80 countries for its innovation and accessibility.

    Tools: LLMs, AI Agents Architecture, LangChain